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GenAI Prompt to Product Showcase

Published by O'Reilly Media, Inc.

Intermediate content levelIntermediate

Context engineering for reliable AI systems

Prompting best practices include precision, clear instructions, examples, and most importantly, context. The challenge of developing rich, high-quality context for AI has pushed experts to take prompting to the next level. Context engineering is a set of practices that has taken us beyond the art of crafting a simple prompt. It entails filling your AI’s context window with all (and only) the necessary data, memory, tools, and instructions that it needs to perform accurately and reliably.

Join host Lucas Soares and five experts who’ve mastered the ins and outs of context engineering and have thrashed out a set of best practices, tips, and tricks for avoiding AI fails resulting from context poisoning, distraction, confusion, and clash. You’ll come away with a better understanding of how to create more reliable AI systems.

What you’ll learn and how you can apply it

  • Learn the different elements that are essential for providing robust context
  • Discover the best practices and AI tools that can help you engineer your AI’s context

This live event is for you because...

  • You’re an AI, ML, or prompt engineer or data scientist who wants to learn more about prompt and context engineering for building generative AI applications.
  • You’re a curious observer who wants to see hands-on demonstrations about what goes into making LLMs and generative AI-powered applications.

Prerequisites

  • Come with your questions for host Lucas Soares
  • Have a pen and paper handy to capture notes, insights, and inspiration

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Thursday, December 4, 2025, 9:00am–12:00pm PT | 12:00pm–3:00pm ET

Part I (45 minutes)

  • Presentation: Introduction to host and experts; overview of the emerging concept and practice of context engineering and its challenges
  • Q&A
  • Break

Part II (90 minutes)

  • Presentation: Five 10-minute videos with feedback, analysis, and Q&A

Topics covered: Integrating Artifacts into the Agentic AI UI; Explicit Memory Management for AI Context Optimization with n8n; LlamaIndex Workflows and the Role of Memory for Context; Algorithmic Solutions for Context Engineering with GEPA and DSPy

  • Poll: What are the most common challenges that you face in context engineering?
  • Break

Part III (45 minutes)

  • Presentation: Review of common challenges and failures of context engineering and the patterns learned from the expert presentations
  • Q&A

Your Hosts and Guests

  • Lucas Soares

    Lucas Soares is a machine learning engineer who has worked at K1 Digital and Biometrid, where he developed computer vision and NLP models for applications such as document verification, OCR-based applications, and recommender systems. Lucas has also developed various ML models, including neural networks, Siamese networks, convolutional neural networks, LSTMs, and genetic algorithms.

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  • John Berryman

    John Berryman is the founder and principal consultant of Arcturus Labs, where he specializes in LLM application development and helps businesses harness the power of advanced AI technologies. As an engineer working at the forefront of AI-assisted coding tools, John was an early contributor to the development of GitHub Copilot’s completions and chat functionalities.

  • Mike Taylor

    Mike Taylor has been working with AI since the GPT-3 beta in 2020, and over 250,000 people have taken his AI engineering courses on Udemy. He coauthored the O’Reilly book Prompt Engineering for Generative AI, with over 10,000 copies sold. He’s also the cofounder and CEO of AskRally, which generates AI personas to simulate market feedback.

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  • Angelina Yang

    Angelina Yang is the cofounder of West Operators, where she helps companies become discoverable to AI systems like ChatGPT, Claude, and Perplexity. She has built LLM applications powering over 10 million daily interactions and works with founders backed by a16z, Sequoia, and Lightspeed.

    Angelina is a two-time fast.ai Fellow under Jeremy Howard and a winner of Anthropic’s 2024 AI developer contest. She’s also the founder and host of TwoSetAI, a YouTube channel with 90K+ subscribers where she interviews AI founders. Her expertise bridges AI engineering and growth strategy, helping businesses turn AI visibility into a predictable channel for discovery.

  • Tuana Çelik

    Tuana Çelik specializes in developer relations and AI engineering, with a focus on language technologies, LLMs, and Python. She works at LlamaIndex, bringing prior experience from roles at Weaviate and Haystack. A passionate builder and educator, Tuana creates tooling and educational resources for tech communities and frequently shares her expertise by giving talks on artificial intelligence and development.

Skill covered

Generative AI